Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Jelle Bakker
  • ESANN 2019 - Efficient learning of email similarities for customer support [Details]
Emili Balaguer-Ballester
  • ESANN 2014 - DELA: A Dynamic Online Ensemble Learning Algorithm [Details]
Prasanna Balaprakash
  • ESANN 2023 - Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? [Details]
  • ESANN 2023 - Multi-Fidelity Reinforcement Learning with Control Variates [Details]
Dario Balboni
  • ESANN 2024 - ADLER - An efficient Hessian-based strategy for adaptive learning rate [Details]
Luca Baldassarre
  • ESANN 2010 - Learning how to grasp objects [Details]
Michele Baldassini
  • ESANN 2025 - Explainable ensemble learning for structural damage prediction under seismic events [Details]
P. Baldi
  • ESANN 1993 - Trajectory learning using hierarchy of oscillatory modules [Details]
Pierre Baldi
  • ESANN 2005 - SVM and pattern-enriched common fate graphs for the game of go [Details]
Ioana Baldini
  • ESANN 2023 - Adversarial Auditing of Machine Learning Models under Compound Shift [Details]
Nadia Bali
  • ESANN 2006 - Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images [Details]
Zoltán Bálint
  • ESANN 2018 - Dynamic autonomous image segmentation based on Grow Cut [Details]
Stefan Balint
  • ESANN 2007 - Bifurcation analysis for a discrete-time Hopfield neural network of two neurons with two delays [Details]
N.R. Ball
  • ESANN 1996 - Representation of obstacles in a neural network based classifier system [Details]
Marco Ballarini
  • ESANN 2025 - D4: Distance Diffusion for a Truly Equivariant Molecular Design [Details]
V. Banarer
  • ESANN 2003 - The hypersphere neuron [Details]
Leonardo Banchi
  • ESANN 2016 - Supervised quantum gate "teaching" for quantum hardware design [Details]
Soma Bandyopadhyay
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
J.P. Banquet
  • ESANN 1999 - Taking inspiration from the Hippocampus can help solving robotics problems [Details]
G. Bao
  • ESANN 2000 - Boundary based movement correction of functional MR data using a genetic algorithm [Details]
N. Barabino
  • ESANN 1999 - Support vector machines vs multi-layer perceptrons in particle identification [Details]
Alexandre Barachant
  • ESANN 2012 - BCI Signal Classification using a Riemannian-based kernel [Details]
Elizabeth Sarah Baranowski
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
Marius Barat
  • No papers found
Fabio Barata
  • No papers found
Florian Barbaro
  • ESANN 2021 - Sparse mixture of von Mises-Fisher distribution [Details]
Rafael Barbastefano
  • No papers found
D. Barber
  • ESANN 1995 - Knowledge and generalisation in simple learning systems [Details]
David Barber
  • ESANN 2005 - generative independent component analysis for EEG classification [Details]
  • ESANN 2013 - Optimization by Variational Bounding [Details]
Alvaro Barbero
  • ESANN 2008 - An accelerated MDM algorithm for SVM training [Details]
Raul Barbosa
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]